diff --git a/po/QML-fa.po b/po/QML-fa.po
new file mode 100644
index 0000000..7d8930c
--- /dev/null
+++ b/po/QML-fa.po
@@ -0,0 +1,1772 @@
+msgid ""
+msgstr ""
+"Last-Translator: Automatically generated\n"
+"Language-Team: none\n"
+"Language: fa\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Plural-Forms: nplurals=2; plural=n > 1;\n"
+"X-Qt-Contexts: true\n"
+
+msgctxt "Description|"
+msgid "Network"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Dependent Variables"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Split"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Estimator"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Correlation"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Partial Correlation"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "huge"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Plots"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Network plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Centrality plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Clustering plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Tables"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Centrality table"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Clustering table"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Analysis Options - "
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Correlation Method"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Auto"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Cor"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Cov"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Npn"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Centrality Measures"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Normalized"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Relative"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Raw"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Network"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Weighted"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Signed"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Missing Values"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Exclude pairwise"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Exclude listwise"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Sample Size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Maximum"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Minimum"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Ising Estimator"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Pseudo-likelihood"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Univariate regressions"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Bivariate regressions"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Loglinear"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Criterion"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "EBIC"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "RIC"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "STARS"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "CV"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Rule"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "AND"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "OR"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Median"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Mean"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Tuning Parameter"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Value"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Threshold"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Method"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Significant"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Cross-validation"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "nFolds"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Variables in network"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Continuous Variables"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Categorical Variables"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Count Variables"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Bootstrap Options"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Settings"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Bootstrap network"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Number of bootstraps"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Parallel Bootstrap"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Bootstrap Type"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Nonparametric"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Case"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Node"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Parametric"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Person"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Jackknife"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Statistics"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edges"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Centrality"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Graphical Options"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Group name"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "New Group"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Group color"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "red"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "blue"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "yellow"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "green"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "purple"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "orange"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Group"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Manual colors"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Node palette"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Rainbow"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Colorblind"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Pastel"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Gray"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "R"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "ggplot2"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Node size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edge size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Max edge strength"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Min edge strength"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Cut"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Show details"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edge labels"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edge label size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edge label position"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edge palette"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Classic"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Hollywood"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Borkulo"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "TeamFortress"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Reddit"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Fried"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Labels"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Label size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Scale label size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Abbreviate labels to "
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Show Variable Names"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "In plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Show Variable Type"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Don't show"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Using node color"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Using node shape"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Legend"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "No legend"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "All plots"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "In plot number: "
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Legend to plot ratio"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Layout"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Do not update layout"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Spring"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Repulsion"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Circle"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Data"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Measures shown in centrality plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Betweenness"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Closeness"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Expected Influence"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "x"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "y"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Save the layout in the data set"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "name for x-coordinates"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "name for y-coordinates"
+msgstr ""
+
+msgctxt "Description|"
+msgid "Explore the connections between variables organized as a network"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "In Legend"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Group 1"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Group 2"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Plots"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Network plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge evidence plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Evidence for inclusion"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Inclusion criteria: BF₁₀ > "
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Evidence for exclusion"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Absence of evidence"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Centrality plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Credibility interval 95%"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Tables"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge evidence probability table"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge inclusion probability"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "BF₁₀"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "BF₀₁"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Log(BF₁₀)"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Centrality table"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Sampling Options"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Burn in: "
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Iterations: "
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Graphical Options"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Group name"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Group 1"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Group 2"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "New Group"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Group color"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "red"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "blue"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "yellow"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "green"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "purple"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "orange"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Variables in network"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Group"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Manual colors"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Node palette"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Rainbow"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Colorblind"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Pastel"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Gray"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "R"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "ggplot2"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Node size"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edges"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge size"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Max edge strength"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Min edge strength"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Cut"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show details"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge labels"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge label size"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge label position"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge palette"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Classic"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Hollywood"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Borkulo"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "TeamFortress"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Reddit"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Fried"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Labels"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Label size"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale label size"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Abbreviate labels to "
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show Variable Names"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "In plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "In legend"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Legend"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "No legend"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "All plots"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "In plot number: "
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Legend to plot ratio"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Layout"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Spring"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Repulsion"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Circle"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Measures shown in centrality plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Betweenness"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Closeness"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Strength"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Expected influence"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior structure probability plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior complexity probability plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Strength"
+msgstr ""
+
+msgctxt "Description|"
+msgid "Network Analysis"
+msgstr ""
+
+msgctxt "Description|"
+msgid "Bayesian Network Analysis"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Prior Specification"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Network Structure (Edge) Priors"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge prior:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Bernoulli"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Beta-binomial"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Stochastic block model"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Prior edge inclusion probability:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Concentration parameter:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Parameter Priors"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Co-clustering matrix plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge specific overview"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Clustering Overview"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Cluster allocations"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Summary statistic"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior mean"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior mode"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior probabilities for the number of clusters"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior co-clustering matrix"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Shows the posterior probability that each pair of nodes belongs to the same "
+"cluster."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Cluster Bayes factor"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Clustering vs. no clustering"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Point hypotheses"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "H₁"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "H₂"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Within cluster shape parameter 1:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Within cluster shape parameter 2:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Between cluster shape parameter 1:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Between cluster shape parameter 2:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Parameter for the number of clusters:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Advanced Options"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Number of chains"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Update method"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Adaptive Metropolis"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "NUTS"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Bayesian Network Analysis estimates the structure and strength of "
+"conditional associations among variables in a graphical model.\n"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"The module supports the Gaussian graphical model (for continuous variables), "
+"the ordinal Markov random field, for ordinal (and binary) variables "
+"including Blume-Capel parameterizations when the ordinal variables with more "
+"than two categories have a meaningful neutral category,\n"
+"\t\tas well as a mixed graphical model of continuous and ordinal (Blume-"
+"Capel) variables.\n"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"When a grouping factor variable is supplied, one network is estimated per "
+"group. A a statistical comparison of network differences is available if all "
+"selected variables are ordinal or Blume-Capel; otherwise, only group-"
+"specific networks are estimated.\n"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Posterior summaries include the edge weight estimates, along with the edge "
+"inclusion probabilities and inclusion Bayes factors, that can be inspected "
+"using the different tables and plots.\n"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Assumptions"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Variables are measured on a single occasion (no time dependency is modeled)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Continuous variables are assumed to follow a Gaussian distribution."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Ordinal variables are treated as ordered-categorical; select Blume-Capel if "
+"a neutral category is meaningful."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Cases with missing values are excluded listwise."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Variables available for inclusion in the network model."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Select variables to include as nodes in the network. Continuous (scale) and "
+"ordinal variables are accepted. When a grouping variable is present, a "
+"difference network is estimated only if all selected variables are ordinal "
+"or Blume-Capel; otherwise separate group networks are estimated."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Blume-Capel / Baseline category"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "B-C"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Treat this ordinal variable using the Blume-Capel parameterization in the "
+"OMRF model. Use this when the variable has a meaningful neutral or reference "
+"category (e.g., a symmetric Likert scale with a midpoint)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Baseline"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Select the neutral or reference category for the Blume-Capel "
+"parameterization. Distances between ordinal categories are measured relative "
+"to this baseline."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Compare networks across groups"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Select a nominal variable to estimate one network per group. A difference "
+"network is estimated only when all selected variables are ordinal or Blume-"
+"Capel; if scale variables are included, only separate group networks are "
+"estimated. At least 2 groups and 3 observations per group are required."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays the posterior mean partial association network. Edge width and "
+"color saturation reflect association strength; blue edges are positive and "
+"red edges are negative. Edges whose BF₁₀ falls below the inclusion threshold "
+"are hidden. Only available when no grouping variable is selected."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edges with BF₁₀ below this value are set to zero in the network plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays the network with edges colored by the evidence category they belong "
+"to. Blue edges have BF₁₀ at or above the threshold (evidence for inclusion); "
+"yellow edges have BF₁₀ at or below the reciprocal threshold (evidence for "
+"exclusion); gray edges fall in between (absence of evidence)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"BF threshold for categorizing evidence. An edge is evidence for inclusion if "
+"BF₁₀ ≥ threshold, evidence for exclusion if BF₁₀ ≤ 1/threshold, and absence "
+"of evidence otherwise."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show edges with BF₁₀ ≥ threshold, colored blue."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show edges with BF₁₀ ≤ 1/threshold, colored yellow."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show edges where BF₁₀ falls between the two thresholds, colored gray."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays posterior mean centrality for the selected measures (betweenness, "
+"closeness, strength, expected influence). Measures are plotted side by side "
+"per node. Only available when no grouping variable is selected."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Adds 95% highest density intervals (HDI) to centrality summaries."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Parameter HDI plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays the posterior mean and highest density interval (HDI) for every "
+"pairwise partial association, ordered from smallest to largest posterior "
+"mean. One panel per network is shown when multiple networks are estimated. "
+"Only available when no grouping variable is selected."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "HDI coverage:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Coverage of the highest density interval (e.g., 0.95 for a 95% HDI)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays a heatmap where each cell shows the posterior proportion of the "
+"corresponding pairs of nodes belonging to the same cluster. Only available "
+"with the Stochastic block model edge prior (see Prior Specification) and no "
+"grouping variable."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Plots the posterior probability of each sampled graph structure (y-axis) "
+"against a structure index (x-axis), sorted in decreasing order of "
+"probability. Useful for assessing whether a single graph structure dominates "
+"the posterior."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Plots the summed posterior probability (y-axis) against the number of edges "
+"(x-axis). Useful for assessing which network complexities are most supported "
+"by the data."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Shows one row per edge. Columns include posterior estimates, inclusion "
+"probability, inclusion Bayes factor, and convergence statistics (R-hat). "
+"Edges are listed in order of decreasing inclusion probability."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Only edges with BF₁₀ above this value are listed in the edge-specific "
+"overview table."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show estimates on interpretative scale"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shows log-odds, precisions, and partial correlations when available."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays a symmetric matrix of edge-wise evidence values. All edges are "
+"listed regardless of evidence strength."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Choose which evidence quantity to display for each edge."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Posterior probability that an edge is present, ranging from 0 (no evidence "
+"for the edge) to 1 (certain inclusion)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Bayes factor quantifying evidence for edge inclusion relative to exclusion. "
+"BF₁₀ > 1 favors inclusion; BF₁₀ < 1 favors exclusion."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Reciprocal Bayes factor quantifying evidence for edge exclusion relative to "
+"inclusion. BF₀₁ = 1 / BF₁₀."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Natural logarithm of BF₁₀."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Shows the posterior mean betweenness, closeness, strength, and expected "
+"influence for each node. Centrality is computed on the posterior mean "
+"network. Only available when no grouping variable is selected."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Shows the estimated cluster membership for each node. The allocation is "
+"summarized as either the posterior mean or posterior mode of the cluster "
+"indicator across MCMC samples."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Posterior mean uses the average cluster index across samples (may be non-"
+"integer). Posterior mode uses the most frequently sampled cluster assignment."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shows the posterior probability for every possible number of clusters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Computes a Bayes factor comparing hypotheses about the clustering structure."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Clustering vs. no clustering compares the hypothesis of multi-cluster "
+"solution against a the hypothesis of a single-cluster (no clustering) model. "
+"Point hypotheses compares two specific numbers of clusters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"The BF tests whether any clustered structure is more probable than a single-"
+"cluster network."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"The BF compares the posterior probability of exactly H₁ clusters versus "
+"exactly H₂ clusters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Number of clusters under hypothesis H₁."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Number of clusters under hypothesis H₂."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Bernoulli: each edge is independently included with a fixed prior "
+"probability. Beta-binomial: edges share a random inclusion probability drawn "
+"from a Beta distribution, allowing borrowing of information. Stochastic "
+"block: inclusion probabilities depend on latent cluster membership, with "
+"separate within- and between-cluster parameters. The Stochastic block option "
+"is only available without a grouping variable."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Prior probability that any given edge is present under the Bernoulli prior. "
+"The default of 0.5 assigns equal prior probability to inclusion and "
+"exclusion. Values closer to 0 impose a sparser prior."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 1:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"First shape parameter (α1) of the Beta prior on the within-cluster edge "
+"inclusion probability. Together with shape parameter 2, controls the prior "
+"mean (α1 / (α1 + α2)) and concentration. Equal values of 1 correspond to a "
+"uniform prior within each cluster."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 2:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Second shape parameter (α2) of the Beta prior on the within-cluster edge "
+"inclusion probability. Equal values of 1 correspond to a uniform prior."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"First shape parameter (α1) of the Beta prior on the between-cluster edge "
+"inclusion probability. To encourage sparsity between clusters (block "
+"structure), set both between-cluster parameters to values less than 1."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Second shape parameter (α2) of the Beta prior on the between-cluster edge "
+"inclusion probability."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Rate parameter of the truncated Poisson prior on the number of clusters. "
+"Smaller values favor fewer clusters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Symmetric Dirichlet concentration parameter for cluster membership "
+"probabilities. The default of 1 is roughly uninformative about cluster "
+"sizes. Values less than 1 favor unequal cluster sizes."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Prior family for the partial association differences:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Prior family for the partial association parameters:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Family of the prior on the partial association parameters. Cauchy is the "
+"default heavy-tailed shrinkage prior. Normal applies lighter-tailed "
+"shrinkage. Beta-prime is parameterized via two shape parameters on the "
+"logistic scale."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Cauchy"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Normal"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Beta-prime"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale of the Normal distribution for the differences:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale of the Cauchy distribution for the differences:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Scale of the Normal distribution for the partial association parameters:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Scale of the Cauchy distribution for the partial association parameters:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Scale parameter of the Cauchy or Normal prior on the partial association "
+"parameters. When a grouping variable is selected, this scale applies to the "
+"differences between groups."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 1 for the partial associations:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"First shape parameter (α1) of the Beta-prime prior on the partial "
+"association parameters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 2 for the partial associations:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Second shape parameter (α2) of the Beta-prime prior on the partial "
+"association parameters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Baseline Cauchy scale for the partial association parameters:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Scale of the Cauchy prior on the *baseline* partial association parameters "
+"when comparing groups. Set to a positive value to override the default of 1; "
+"values ≤ 0 fall back to the differences scale."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Prior family for the main effects:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Family of the prior on the main effects (thresholds). Beta-prime is the "
+"default; Cauchy and Normal are alternative parameterizations on the original "
+"scale."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 1 for the main effects:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "First shape parameter (α1) of the Beta-prime prior on the main effects."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 2 for the main effects:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Second shape parameter (α2) of the Beta-prime prior on the main effects."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale of the Normal distribution for the main effects:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale of the Cauchy distribution for the main effects:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale parameter of the Cauchy or Normal prior on the main effects."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Number of warmup iterations discarded from the start of each chain to allow "
+"the Markov chain to converge before collecting posterior samples."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Total number of MCMC iterations per chain, including the burn-in. Posterior "
+"inference uses the iterations after burn-in. Increase for more stable "
+"estimates, especially for complex models."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Number of independent MCMC chains. With 2 or more chains, the Gelman-Rubin R-"
+"hat convergence statistic is computed across all chains. With 1 chain, a "
+"split-chain version is used instead. R-hat values above approximately 1.05 "
+"suggest the chains have not converged."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "MCMC algorithm used to sample from the posterior."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Define named groups for manual node coloring. Each group can be assigned a "
+"color that will appear in the network plot when Manual colors is enabled."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Assign each network variable to one of the color groups defined on the left. "
+"All variables start in Group 1 by default."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"When enabled, node colors are taken from the group color assignments above. "
+"When disabled, a predefined palette is applied uniformly."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Color palette applied to node groups when Manual colors is disabled. "
+"Colorblind-safe options are recommended for accessible figures."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Multiplier applied to all node sizes. A value of 1 uses the default size; "
+"values above 1 create larger nodes."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Multiplier applied to all edge widths. A value of 2 doubles the edge width "
+"relative to the default."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Sets the edge weight that corresponds to the maximum line width. Edges "
+"stronger than this value are clipped to the maximum width. Set to 0 to scale "
+"all edges relative to the strongest edge."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Edges with absolute weight below this value are hidden in the network plot. "
+"If the threshold exceeds the strongest edge, it is ignored and a warning is "
+"shown in the summary table."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Edges with absolute weight below this value are drawn thin and desaturated; "
+"above it they scale to full width and saturation. Set to 0 to scale all "
+"edges continuously without a cut threshold."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Overlays the minimum edge strength, maximum edge strength, and cut values as "
+"text on the network plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Overlay the numerical edge weight on each edge in the network plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Multiplier for edge label size."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Position of edge labels along each edge (0 to 1)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Color scheme applied to positive and negative edges. Classic uses blue for "
+"positive and red for negative associations. Colorblind-safe and grayscale "
+"options are also available."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Multiplier for node label font size. A value of 2 doubles the label size "
+"relative to the default."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"When enabled, label font size is automatically scaled relative to node size "
+"so that labels fit inside nodes."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Abbreviate variable names in plots to reduce label clutter."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Target character length for abbreviated labels."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Choose where variable names are displayed in network plots."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Variable names are shown as labels directly on the nodes."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Nodes are labeled with numbers; a legend maps each number to the variable "
+"name. Useful when variable names are long."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Controls legend placement across network plots. When multiple networks are "
+"shown (e.g., with grouping), this setting applies globally."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "No legend is shown in any plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "A legend is added to every network plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"A legend is added to only the plot with the specified number, and other "
+"plots are shown without a legend."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "1-based index of the plot in which the legend should appear."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Width of the legend panel relative to the network plot. A value of 0.4 means "
+"the legend is 40% as wide as the plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Determines how nodes are positioned in network plots. The same layout is "
+"applied to all networks in a multi-network analysis, computed from the "
+"average of estimated edge weights."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Nodes are positioned using the Fruchterman-Reingold force-directed "
+"algorithm. Strongly connected nodes are placed closer together."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Controls how strongly nodes repel each other. Larger values spread nodes "
+"further apart."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Nodes are evenly spaced on a circle. Useful for comparing relative edge "
+"patterns without the layout reflecting association strength."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Number of shortest paths between other node pairs that pass through this "
+"node. Nodes with high betweenness act as bridges in the network."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Inverse of the average shortest path length from this node to all other "
+"nodes. Nodes with high closeness can efficiently reach all other nodes."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Sum of absolute edge weights connected to this node. Reflects how strongly a "
+"node is associated with its neighbors."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Sum of signed edge weights connected to this node. Unlike strength, negative "
+"edges reduce the value, so nodes with mixed positive and negative "
+"connections may have low expected influence."
+msgstr ""
diff --git a/po/QML-mk.po b/po/QML-mk.po
new file mode 100644
index 0000000..6788ccc
--- /dev/null
+++ b/po/QML-mk.po
@@ -0,0 +1,1772 @@
+msgid ""
+msgstr ""
+"Last-Translator: Automatically generated\n"
+"Language-Team: none\n"
+"Language: mk\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Plural-Forms: nplurals=2; plural=n==1 || n%10==1 ? 0 : 1;\n"
+"X-Qt-Contexts: true\n"
+
+msgctxt "Description|"
+msgid "Network"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Dependent Variables"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Split"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Estimator"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Correlation"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Partial Correlation"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "huge"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Plots"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Network plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Centrality plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Clustering plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Tables"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Centrality table"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Clustering table"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Analysis Options - "
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Correlation Method"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Auto"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Cor"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Cov"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Npn"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Centrality Measures"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Normalized"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Relative"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Raw"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Network"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Weighted"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Signed"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Missing Values"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Exclude pairwise"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Exclude listwise"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Sample Size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Maximum"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Minimum"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Ising Estimator"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Pseudo-likelihood"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Univariate regressions"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Bivariate regressions"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Loglinear"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Criterion"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "EBIC"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "RIC"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "STARS"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "CV"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Rule"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "AND"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "OR"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Median"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Mean"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Tuning Parameter"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Value"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Threshold"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Method"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Significant"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Cross-validation"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "nFolds"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Variables in network"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Continuous Variables"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Categorical Variables"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Count Variables"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Bootstrap Options"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Settings"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Bootstrap network"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Number of bootstraps"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Parallel Bootstrap"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Bootstrap Type"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Nonparametric"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Case"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Node"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Parametric"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Person"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Jackknife"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Statistics"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edges"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Centrality"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Graphical Options"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Group name"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "New Group"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Group color"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "red"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "blue"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "yellow"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "green"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "purple"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "orange"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Group"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Manual colors"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Node palette"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Rainbow"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Colorblind"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Pastel"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Gray"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "R"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "ggplot2"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Node size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edge size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Max edge strength"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Min edge strength"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Cut"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Show details"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edge labels"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edge label size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edge label position"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Edge palette"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Classic"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Hollywood"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Borkulo"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "TeamFortress"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Reddit"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Fried"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Labels"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Label size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Scale label size"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Abbreviate labels to "
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Show Variable Names"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "In plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Show Variable Type"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Don't show"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Using node color"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Using node shape"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Legend"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "No legend"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "All plots"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "In plot number: "
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Legend to plot ratio"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Layout"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Do not update layout"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Spring"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Repulsion"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Circle"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Data"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Measures shown in centrality plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Betweenness"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Closeness"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Expected Influence"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "x"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "y"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Save the layout in the data set"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "name for x-coordinates"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "name for y-coordinates"
+msgstr ""
+
+msgctxt "Description|"
+msgid "Explore the connections between variables organized as a network"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "In Legend"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Group 1"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Group 2"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Plots"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Network plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge evidence plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Evidence for inclusion"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Inclusion criteria: BF₁₀ > "
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Evidence for exclusion"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Absence of evidence"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Centrality plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Credibility interval 95%"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Tables"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge evidence probability table"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge inclusion probability"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "BF₁₀"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "BF₀₁"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Log(BF₁₀)"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Centrality table"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Sampling Options"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Burn in: "
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Iterations: "
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Graphical Options"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Group name"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Group 1"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Group 2"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "New Group"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Group color"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "red"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "blue"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "yellow"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "green"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "purple"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "orange"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Variables in network"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Group"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Manual colors"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Node palette"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Rainbow"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Colorblind"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Pastel"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Gray"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "R"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "ggplot2"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Node size"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edges"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge size"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Max edge strength"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Min edge strength"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Cut"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show details"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge labels"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge label size"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge label position"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge palette"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Classic"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Hollywood"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Borkulo"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "TeamFortress"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Reddit"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Fried"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Labels"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Label size"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale label size"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Abbreviate labels to "
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show Variable Names"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "In plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "In legend"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Legend"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "No legend"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "All plots"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "In plot number: "
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Legend to plot ratio"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Layout"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Spring"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Repulsion"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Circle"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Measures shown in centrality plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Betweenness"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Closeness"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Strength"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Expected influence"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior structure probability plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior complexity probability plot"
+msgstr ""
+
+msgctxt "NetworkAnalysis|"
+msgid "Strength"
+msgstr ""
+
+msgctxt "Description|"
+msgid "Network Analysis"
+msgstr ""
+
+msgctxt "Description|"
+msgid "Bayesian Network Analysis"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Prior Specification"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Network Structure (Edge) Priors"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge prior:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Bernoulli"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Beta-binomial"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Stochastic block model"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Prior edge inclusion probability:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Concentration parameter:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Parameter Priors"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Co-clustering matrix plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edge specific overview"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Clustering Overview"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Cluster allocations"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Summary statistic"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior mean"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior mode"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior probabilities for the number of clusters"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Posterior co-clustering matrix"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Shows the posterior probability that each pair of nodes belongs to the same "
+"cluster."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Cluster Bayes factor"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Clustering vs. no clustering"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Point hypotheses"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "H₁"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "H₂"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Within cluster shape parameter 1:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Within cluster shape parameter 2:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Between cluster shape parameter 1:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Between cluster shape parameter 2:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Parameter for the number of clusters:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Advanced Options"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Number of chains"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Update method"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Adaptive Metropolis"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "NUTS"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Bayesian Network Analysis estimates the structure and strength of "
+"conditional associations among variables in a graphical model.\n"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"The module supports the Gaussian graphical model (for continuous variables), "
+"the ordinal Markov random field, for ordinal (and binary) variables "
+"including Blume-Capel parameterizations when the ordinal variables with more "
+"than two categories have a meaningful neutral category,\n"
+"\t\tas well as a mixed graphical model of continuous and ordinal (Blume-"
+"Capel) variables.\n"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"When a grouping factor variable is supplied, one network is estimated per "
+"group. A a statistical comparison of network differences is available if all "
+"selected variables are ordinal or Blume-Capel; otherwise, only group-"
+"specific networks are estimated.\n"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Posterior summaries include the edge weight estimates, along with the edge "
+"inclusion probabilities and inclusion Bayes factors, that can be inspected "
+"using the different tables and plots.\n"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Assumptions"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Variables are measured on a single occasion (no time dependency is modeled)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Continuous variables are assumed to follow a Gaussian distribution."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Ordinal variables are treated as ordered-categorical; select Blume-Capel if "
+"a neutral category is meaningful."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Cases with missing values are excluded listwise."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Variables available for inclusion in the network model."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Select variables to include as nodes in the network. Continuous (scale) and "
+"ordinal variables are accepted. When a grouping variable is present, a "
+"difference network is estimated only if all selected variables are ordinal "
+"or Blume-Capel; otherwise separate group networks are estimated."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Blume-Capel / Baseline category"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "B-C"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Treat this ordinal variable using the Blume-Capel parameterization in the "
+"OMRF model. Use this when the variable has a meaningful neutral or reference "
+"category (e.g., a symmetric Likert scale with a midpoint)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Baseline"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Select the neutral or reference category for the Blume-Capel "
+"parameterization. Distances between ordinal categories are measured relative "
+"to this baseline."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Compare networks across groups"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Select a nominal variable to estimate one network per group. A difference "
+"network is estimated only when all selected variables are ordinal or Blume-"
+"Capel; if scale variables are included, only separate group networks are "
+"estimated. At least 2 groups and 3 observations per group are required."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays the posterior mean partial association network. Edge width and "
+"color saturation reflect association strength; blue edges are positive and "
+"red edges are negative. Edges whose BF₁₀ falls below the inclusion threshold "
+"are hidden. Only available when no grouping variable is selected."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Edges with BF₁₀ below this value are set to zero in the network plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays the network with edges colored by the evidence category they belong "
+"to. Blue edges have BF₁₀ at or above the threshold (evidence for inclusion); "
+"yellow edges have BF₁₀ at or below the reciprocal threshold (evidence for "
+"exclusion); gray edges fall in between (absence of evidence)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"BF threshold for categorizing evidence. An edge is evidence for inclusion if "
+"BF₁₀ ≥ threshold, evidence for exclusion if BF₁₀ ≤ 1/threshold, and absence "
+"of evidence otherwise."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show edges with BF₁₀ ≥ threshold, colored blue."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show edges with BF₁₀ ≤ 1/threshold, colored yellow."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show edges where BF₁₀ falls between the two thresholds, colored gray."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays posterior mean centrality for the selected measures (betweenness, "
+"closeness, strength, expected influence). Measures are plotted side by side "
+"per node. Only available when no grouping variable is selected."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Adds 95% highest density intervals (HDI) to centrality summaries."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Parameter HDI plot"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays the posterior mean and highest density interval (HDI) for every "
+"pairwise partial association, ordered from smallest to largest posterior "
+"mean. One panel per network is shown when multiple networks are estimated. "
+"Only available when no grouping variable is selected."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "HDI coverage:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Coverage of the highest density interval (e.g., 0.95 for a 95% HDI)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays a heatmap where each cell shows the posterior proportion of the "
+"corresponding pairs of nodes belonging to the same cluster. Only available "
+"with the Stochastic block model edge prior (see Prior Specification) and no "
+"grouping variable."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Plots the posterior probability of each sampled graph structure (y-axis) "
+"against a structure index (x-axis), sorted in decreasing order of "
+"probability. Useful for assessing whether a single graph structure dominates "
+"the posterior."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Plots the summed posterior probability (y-axis) against the number of edges "
+"(x-axis). Useful for assessing which network complexities are most supported "
+"by the data."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Shows one row per edge. Columns include posterior estimates, inclusion "
+"probability, inclusion Bayes factor, and convergence statistics (R-hat). "
+"Edges are listed in order of decreasing inclusion probability."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Only edges with BF₁₀ above this value are listed in the edge-specific "
+"overview table."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Show estimates on interpretative scale"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shows log-odds, precisions, and partial correlations when available."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Displays a symmetric matrix of edge-wise evidence values. All edges are "
+"listed regardless of evidence strength."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Choose which evidence quantity to display for each edge."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Posterior probability that an edge is present, ranging from 0 (no evidence "
+"for the edge) to 1 (certain inclusion)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Bayes factor quantifying evidence for edge inclusion relative to exclusion. "
+"BF₁₀ > 1 favors inclusion; BF₁₀ < 1 favors exclusion."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Reciprocal Bayes factor quantifying evidence for edge exclusion relative to "
+"inclusion. BF₀₁ = 1 / BF₁₀."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Natural logarithm of BF₁₀."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Shows the posterior mean betweenness, closeness, strength, and expected "
+"influence for each node. Centrality is computed on the posterior mean "
+"network. Only available when no grouping variable is selected."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Shows the estimated cluster membership for each node. The allocation is "
+"summarized as either the posterior mean or posterior mode of the cluster "
+"indicator across MCMC samples."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Posterior mean uses the average cluster index across samples (may be non-"
+"integer). Posterior mode uses the most frequently sampled cluster assignment."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shows the posterior probability for every possible number of clusters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Computes a Bayes factor comparing hypotheses about the clustering structure."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Clustering vs. no clustering compares the hypothesis of multi-cluster "
+"solution against a the hypothesis of a single-cluster (no clustering) model. "
+"Point hypotheses compares two specific numbers of clusters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"The BF tests whether any clustered structure is more probable than a single-"
+"cluster network."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"The BF compares the posterior probability of exactly H₁ clusters versus "
+"exactly H₂ clusters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Number of clusters under hypothesis H₁."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Number of clusters under hypothesis H₂."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Bernoulli: each edge is independently included with a fixed prior "
+"probability. Beta-binomial: edges share a random inclusion probability drawn "
+"from a Beta distribution, allowing borrowing of information. Stochastic "
+"block: inclusion probabilities depend on latent cluster membership, with "
+"separate within- and between-cluster parameters. The Stochastic block option "
+"is only available without a grouping variable."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Prior probability that any given edge is present under the Bernoulli prior. "
+"The default of 0.5 assigns equal prior probability to inclusion and "
+"exclusion. Values closer to 0 impose a sparser prior."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 1:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"First shape parameter (α1) of the Beta prior on the within-cluster edge "
+"inclusion probability. Together with shape parameter 2, controls the prior "
+"mean (α1 / (α1 + α2)) and concentration. Equal values of 1 correspond to a "
+"uniform prior within each cluster."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 2:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Second shape parameter (α2) of the Beta prior on the within-cluster edge "
+"inclusion probability. Equal values of 1 correspond to a uniform prior."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"First shape parameter (α1) of the Beta prior on the between-cluster edge "
+"inclusion probability. To encourage sparsity between clusters (block "
+"structure), set both between-cluster parameters to values less than 1."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Second shape parameter (α2) of the Beta prior on the between-cluster edge "
+"inclusion probability."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Rate parameter of the truncated Poisson prior on the number of clusters. "
+"Smaller values favor fewer clusters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Symmetric Dirichlet concentration parameter for cluster membership "
+"probabilities. The default of 1 is roughly uninformative about cluster "
+"sizes. Values less than 1 favor unequal cluster sizes."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Prior family for the partial association differences:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Prior family for the partial association parameters:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Family of the prior on the partial association parameters. Cauchy is the "
+"default heavy-tailed shrinkage prior. Normal applies lighter-tailed "
+"shrinkage. Beta-prime is parameterized via two shape parameters on the "
+"logistic scale."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Cauchy"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Normal"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Beta-prime"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale of the Normal distribution for the differences:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale of the Cauchy distribution for the differences:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Scale of the Normal distribution for the partial association parameters:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Scale of the Cauchy distribution for the partial association parameters:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Scale parameter of the Cauchy or Normal prior on the partial association "
+"parameters. When a grouping variable is selected, this scale applies to the "
+"differences between groups."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 1 for the partial associations:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"First shape parameter (α1) of the Beta-prime prior on the partial "
+"association parameters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 2 for the partial associations:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Second shape parameter (α2) of the Beta-prime prior on the partial "
+"association parameters."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Baseline Cauchy scale for the partial association parameters:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Scale of the Cauchy prior on the *baseline* partial association parameters "
+"when comparing groups. Set to a positive value to override the default of 1; "
+"values ≤ 0 fall back to the differences scale."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Prior family for the main effects:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Family of the prior on the main effects (thresholds). Beta-prime is the "
+"default; Cauchy and Normal are alternative parameterizations on the original "
+"scale."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 1 for the main effects:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "First shape parameter (α1) of the Beta-prime prior on the main effects."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Shape parameter 2 for the main effects:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Second shape parameter (α2) of the Beta-prime prior on the main effects."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale of the Normal distribution for the main effects:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale of the Cauchy distribution for the main effects:"
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Scale parameter of the Cauchy or Normal prior on the main effects."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Number of warmup iterations discarded from the start of each chain to allow "
+"the Markov chain to converge before collecting posterior samples."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Total number of MCMC iterations per chain, including the burn-in. Posterior "
+"inference uses the iterations after burn-in. Increase for more stable "
+"estimates, especially for complex models."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Number of independent MCMC chains. With 2 or more chains, the Gelman-Rubin R-"
+"hat convergence statistic is computed across all chains. With 1 chain, a "
+"split-chain version is used instead. R-hat values above approximately 1.05 "
+"suggest the chains have not converged."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "MCMC algorithm used to sample from the posterior."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Define named groups for manual node coloring. Each group can be assigned a "
+"color that will appear in the network plot when Manual colors is enabled."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Assign each network variable to one of the color groups defined on the left. "
+"All variables start in Group 1 by default."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"When enabled, node colors are taken from the group color assignments above. "
+"When disabled, a predefined palette is applied uniformly."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Color palette applied to node groups when Manual colors is disabled. "
+"Colorblind-safe options are recommended for accessible figures."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Multiplier applied to all node sizes. A value of 1 uses the default size; "
+"values above 1 create larger nodes."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Multiplier applied to all edge widths. A value of 2 doubles the edge width "
+"relative to the default."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Sets the edge weight that corresponds to the maximum line width. Edges "
+"stronger than this value are clipped to the maximum width. Set to 0 to scale "
+"all edges relative to the strongest edge."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Edges with absolute weight below this value are hidden in the network plot. "
+"If the threshold exceeds the strongest edge, it is ignored and a warning is "
+"shown in the summary table."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Edges with absolute weight below this value are drawn thin and desaturated; "
+"above it they scale to full width and saturation. Set to 0 to scale all "
+"edges continuously without a cut threshold."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Overlays the minimum edge strength, maximum edge strength, and cut values as "
+"text on the network plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Overlay the numerical edge weight on each edge in the network plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Multiplier for edge label size."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Position of edge labels along each edge (0 to 1)."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Color scheme applied to positive and negative edges. Classic uses blue for "
+"positive and red for negative associations. Colorblind-safe and grayscale "
+"options are also available."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Multiplier for node label font size. A value of 2 doubles the label size "
+"relative to the default."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"When enabled, label font size is automatically scaled relative to node size "
+"so that labels fit inside nodes."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Abbreviate variable names in plots to reduce label clutter."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Target character length for abbreviated labels."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Choose where variable names are displayed in network plots."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "Variable names are shown as labels directly on the nodes."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Nodes are labeled with numbers; a legend maps each number to the variable "
+"name. Useful when variable names are long."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Controls legend placement across network plots. When multiple networks are "
+"shown (e.g., with grouping), this setting applies globally."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "No legend is shown in any plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "A legend is added to every network plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"A legend is added to only the plot with the specified number, and other "
+"plots are shown without a legend."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid "1-based index of the plot in which the legend should appear."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Width of the legend panel relative to the network plot. A value of 0.4 means "
+"the legend is 40% as wide as the plot."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Determines how nodes are positioned in network plots. The same layout is "
+"applied to all networks in a multi-network analysis, computed from the "
+"average of estimated edge weights."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Nodes are positioned using the Fruchterman-Reingold force-directed "
+"algorithm. Strongly connected nodes are placed closer together."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Controls how strongly nodes repel each other. Larger values spread nodes "
+"further apart."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Nodes are evenly spaced on a circle. Useful for comparing relative edge "
+"patterns without the layout reflecting association strength."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Number of shortest paths between other node pairs that pass through this "
+"node. Nodes with high betweenness act as bridges in the network."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Inverse of the average shortest path length from this node to all other "
+"nodes. Nodes with high closeness can efficiently reach all other nodes."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Sum of absolute edge weights connected to this node. Reflects how strongly a "
+"node is associated with its neighbors."
+msgstr ""
+
+msgctxt "BayesianNetworkAnalysis|"
+msgid ""
+"Sum of signed edge weights connected to this node. Unlike strength, negative "
+"edges reduce the value, so nodes with mixed positive and negative "
+"connections may have low expected influence."
+msgstr ""